Claim Scrubber software: the benefits for healthcare providers

by Experian Health 4 min read July 16, 2024

Claim-Scrubber-software-the-benefits-for-healthcare-providers

Claim denials are costly to correct and resubmit. They impede revenue flow, slow down patient care delivery, contribute to poor patient experience and satisfaction, increase administrative workload and take up limited staff time and resources. While they’re avoidable, Experian Health’s State of Claims 2022 report shows that 30% of respondents say denials are increasing between 10-15% year over year, which costs health systems billions of dollars.

Moreover, rebilling payers often proves fruitless. Despite taking up resources and staff time and productivity and slowing down healthcare delivery, reworked and resubmitted claims denials often face repeated rejection. A KFF brief on claims denial noted that even though it’s uncommon for consumers to resubmit denied claims, insurers usually stick to their original decision when resubmissions occur.

Unsurprisingly, preventing claims denial and streamlining the claims management process has become a pressing need for revenue cycle leaders. The report also revealed that 70% of respondents consider claims management and reducing denials as top priorities. However, the reality of a drop in claim denial rates becomes tangible only when healthcare organizations start to automate claims processes. Claim Scrubber sets the standard as a software solution that effectively reduces denial rates, by ensuring that providers submit clean claims from the start.

What is Claim Scrubber?

Claim Scrubber is an automated software solution that helps healthcare providers identify errors that may lead to incorrect billing and claims denials and submit clean, thorough and accurate claims every time. It reduces undercharges and denials, ensures timely billing and payments, improves staff time and productivity and increases cash flow and bottom lines.

This tool is built to seamlessly complement Experian Health’s other claims processing solutions, including ClaimSource® and Denial Workflow Manager. By adopting these solutions, healthcare organizations can enjoy the full range of benefits in their claims processing and management experience while benefiting from timely, uninterrupted cash flow and higher revenue.

How does Claim Scrubber work?

Claim Scrubber is designed to consistently and reliably help healthcare staff produce clean and accurate claims that are more likely to be approved by payers. Here’s how:

  • Claim Scrubber meticulously analyzes each line of every pre-claim to ensure accurate coding and information before submission to the claims clearinghouse.
  • After completing the analysis, Claim Scrubber provides general and payer-relevant edits that pinpoint incorrect code combinations or other issues that could lead to claim denial.
  • These edits are stored within the Claim Scrubber portal and can be conveniently accessed by users from their PMS and HIS.
  • Claim Scrubber details reasons for flagging a claim so users can make appropriate corrections before submission.
  • Claim Scrubber enables users to make edits in alignment with payer policies by using Experian Health’s comprehensive database of commercial payer policies and content.
  • Claim Scrubber also identifies when the billed amount is less than the payer-allowed amount, helping health systems catch and correct undercharges.
  • Claim Scrubber cleans claims, making them error-free by working with the latest and most up-to-date data.
  • Claim Scrubber is fully functional in batch mode.
  • Claim Scrubber operates on a secure VPN connectivity feature to ensure secure and rapid responses for real-time integrations.

How can Claim Scrubber help improve claims management?

Claim Scrubber optimizes claims processing by providing revenue cycle decision-makers and their teams with solutions that identify potential coding and billing errors upfront, ensure error-free claims submission to payers or clearinghouses, prevent undercharges and underpayment, increase first-time pass rates and prevent costly, time-consuming rework and rebilling that may result in a second rejection.

Additionally, Claim Scrubber enables healthcare organizations to comply with and meet price transparency rules by staying updated on coding variances. Users can also revise flagged claims, ensuring appropriate and accurate corrections are made with access to Experian Health’s extensive commercial payer policies and content database.

Claim scrubbing occurs within 2.7–3.0 seconds, ensuring speedy transaction processing that leads to faster reimbursements. Healthcare organizations can also enjoy these benefits without the hassle of needing servers, regular maintenance and downtime with Experian Health’s cloud-based application.

See how State of Franklin Healthcare Associates used Claim Scrubber to expedite accounts receivable (A/R) by 13% and reduced full-time employee (FTE) requirements even as claims volume grew.

Read the case study

Healthcare organizations that automate claims management gain advantages that benefit all stakeholders and bottom lines. Claim Scrubber enhances operational efficiency, staff productivity, resource utilization, patient experience and satisfaction and hospital cash flow and financial growth.

Contact us today to learn how Experian Health’s Claim Scrubber software can help your healthcare organization submit clean, thorough claims and get paid faster and more accurately.

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Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

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